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The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security. 

Key Responsibilities 

•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments 

•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models 

•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod 

•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies 

•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions 

•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures 

•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations 

•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage 

•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement 

•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools 

•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 

•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads 

•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services 

•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools 

•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM) 

•Scripting experience using PowerShell and/or Python 

•Experience supporting production platforms with incident management, change control, and root cause analysis 

•Understanding of cloud security fundamentals and enterprise governance requirements 

Preferred Qualifications 

•Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, or MLOps frameworks 

•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS) 

•Experience supporting data pipelines or feature stores used by machine learning systems 

•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms 

•Experience with observability tools 

•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems 

•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)

Work mode- WFO 5 days

Location: Hyderabad (Onsite)

Experience- 7+

• K8s Hands-on experience
• Linux Troubleshooting Skills
• Experience on OnPrem Servers and Management
• Helm
• Docker
• Ingress and Ingress Controllers
• Networking Basics
• Proficient Communication

Must-Have Skills:

• Hands-on experience with airgap Kubernetes clusters, ideally in regulated industries (finance, healthcare, etc.).
• Strong expertise in CI/CD pipelines, programmable infrastructure, and automation.
• Proficiency in Linux troubleshooting, observability (Prometheus, Grafana, ELK), and multi-region disaster recovery.
• Security & compliance knowledge for regulated industries.
• Preferred: Experience with GKE, RKE, Rook-Ceph, and certifications like CKA, CKAD.

Who You Are

• A Kubernetes expert who thrives on scalability, automation, and security.
• Passionate about optimizing infrastructure, CI/CD, and high-availability systems.
• Comfortable troubleshooting Linux, improving observability, and ensuring disaster recovery readiness.
• A problem solver who simplifies complexity and drives cloud-native adoption.

What You’ll Do

• Architect & automate Kubernetes solutions for airgap and multi-region clusters.
• Optimize CI/CD pipelines & cloud-native deployments.
• Work with open-source projects, selecting the right tools for the job.
• Educate & guide teams on modern cloud-native infrastructure best practices.
• Solve real-world scaling, security, and infrastructure automation challenges.

Why Join Us?

• Work on high-impact Kubernetes projects in regulated industries.
• Solve real-world automation & infrastructure challenges with cutting-edge tools.
• Grow in a team that values learning, open-source contributions, and innovation.

Key Skills Required:

·         You will be part of the DevOps engineering team, configuring project environments, troubleshooting integration issues in different systems also be involved in building new features for next generation of cloud recovery services and managed services. 

·         You will directly guide the technical strategy for our clients and build out a new capability within the company for DevOps to improve our business relevance for customers. 

·         You will be coordinating with Cloud and Data team for their requirements and verify the configurations required for each production server and come with Scalable solutions.

·         You will be responsible to review infrastructure and configuration of micro services and packaging and deployment of application

To be the right fit, you'll need:

·         Expert in Cloud Services like AWS.

·         Experience in Terraform Scripting.

·         Experience in container technology like Docker and orchestration like Kubernetes.

·         Good knowledge of frameworks such as Jenkins, CI/CD pipeline, Bamboo Etc.

·         Experience with various version control system like GIT, build tools (Mavan, ANT, Gradle ) and cloud automation tools (Chef, Puppet, Ansible)

Required Skills:

• Experience in systems administration, SRE or DevOps focused role
• Experience in handling production support (on-call)
• Good understanding of the Linux operating system and networking concepts.
• Demonstrated competency with the following AWS services: ECS, EC2, EBS, EKS, S3, RDS, ELB, IAM, Lambda.
• Experience with Docker containers and containerization concepts
• Experience with managing and scaling Kubernetes clusters in a production environment
• Experience building scalable infrastructure in AWS with Terraform.
• Strong knowledge of Protocol-level such as HTTP/HTTPS, SMTP, DNS, and LDAP
• Experience monitoring production systems
• Expertise in leveraging Automation / DevOps principles, experience with operational tools, and able to apply best practices for infrastructure and software deployment (Ansible).
• HAProxy, Nginx, SSH, MySQL configuration and operation experience
• Ability to work seamlessly with software developers, QA, project managers, and business development
• Ability to produce and maintain written documentation

About Company:

• Role Overview

• Senior Engineer with a strong background and experience in cloud related technologies and architectures. Can design target cloud architectures to transform existing architectures together with the in-house team. Can actively hands-on configure and build cloud architectures and guide others.

• Key Knowledge

• 3-5+ years of experience in AWS/GCP or Azure technologies
• Is likely certified on one or more of the major cloud platforms
• Strong experience from hands-on work with technologies such as Terraform, K8S, Docker and orchestration of containers.
• Ability to guide and lead internal agile teams on cloud technology
• Background from the financial services industry or similar critical operational experience

Job Responsibilities:

Work & Deploy updates and fixes Provide Level 2 technical support Support implementation of fully automated CI/CD pipelines as per dev requirement Follow the escalation process through issue completion, including providing documentation after resolution Follow regular Operations procedures and complete all assigned tasks during the shift. Assist in root cause analysis of production issues and help write a report which includes details about the failure, the relevant log entries, and likely root cause Setup of CICD frameworks (Jenkins / Azure DevOps Server), Containerization using Docker, etc Implement continuous testing, Code Quality, Security using DevOps tooling Build a knowledge base by creating and updating documentation for support

Skills Required:

DevOps, Linux, AWS, Ansible, Jenkins, GIT, Terraform, CI, CD, Cloudformation, Typescript

• Extensive experience in designing & supporting Azure Managed Services Operations.  
• Maintaining the Azure Active Directory and Azure AD authentication. 
• Azure update management – Handling updates/Patching. 
• Good understanding of Azure services (Azure App Service, Azure SQL,  Azure Storage Account..etc). 
• Understanding of load balancers, DNS, virtual networks, NSG and firewalls in cloud environment. 
• ARM templates writing, setup automation for resources provisioning. 
• Knowledge on Azure automation and Automation Desire State Configuration. 
• Good understanding of High Availability and Auto scaling. 
• Azure Backups and ASR (Azure Site Recovery) 
• Azure Monitoring and Configuration monitoring (performance metrics, OMS) 
• Cloud Migration Experience(On premise to Cloud). 
• PowerShell scripting for custom tasks automation. 
• Strong experience in configuring, maintaining, and troubleshooting Microsoft based production systems. 
  
  Certification: 
  
  Azure Administrator (AZ-103) & Azure Architect (AZ-300 & AZ-301) 

Position Summary

DevOps is a Department of Horizontal Digital, within which we have 3 different practices.

1. Cloud Engineering
2. Build and Release
3. Managed Services

This opportunity is for Cloud Engineering role who also have some experience with Infrastructure migrations, this will be a complete hands-on job, with focus on migrating clients workloads to the cloud, reporting to the Solution Architect/Team Lead and along with that you are also expected to work on different projects for building out the Sitecore Infrastructure from scratch.

We are Sitecore Platinum Partner and majority of the Infrastructure work that we are doing is for Sitecore.

Sitecore is a .Net Based Enterprise level Web CMS, which can be deployed on On-Prem, IaaS, PaaS and Containers.

So, most of our DevOps work is currently planning, architecting and deploying infrastructure for Sitecore.
 

Key Responsibilities:

• This role includes ownership of technical, commercial and service elements related to cloud migration and Infrastructure deployments.
• Person who will be selected for this position will ensure high customer satisfaction delivering Infra and migration projects.
• Candidate must expect to work in parallel across multiple projects, along with that candidate must also have a fully flexible approach to working hours.
• Candidate should keep him/herself updated with the rapid technological advancements and developments that are taking place in the industry.
• Along with that candidate should also have a know-how on Infrastructure as a code, Kubernetes, AKS/EKS, Terraform, Azure DevOps, CI/CD Pipelines.

Requirements:

• Bachelor’s degree in computer science or equivalent qualification.
• Total work experience of 6 to 8 Years.
• Total migration experience of 4 to 6 Years.
• Multiple Cloud Background (Azure/AWS/GCP)
• Implementation knowledge of VMs, Vnet,
• Know-how of Cloud Readiness and Assessment
• Good Understanding of 6 R's of Migration.
• Detailed understanding of the cloud offerings
• Ability to Assess and perform discovery independently for any cloud migration.
• Working Exp. on Containers and Kubernetes.
• Good Knowledge of Azure Site Recovery/Azure Migrate/Cloud Endure
• Understanding on vSphere and Hyper-V Virtualization.
• Working experience with Active Directory.
• Working experience with AWS Cloud formation/Terraform templates.
• Working Experience of VPN/Express route/peering/Network Security Groups/Route Table/NAT Gateway, etc.
• Experience of working with CI/CD tools like Octopus, Teamcity, Code Build, Code Deploy, Azure DevOps, GitHub action.
• High Availability and Disaster Recovery Implementations, taking into the consideration of RTO and RPO aspects.
• Candidates with AWS/Azure/GCP Certifications will be preferred.

MTX Group Inc. is seeking a motivated Lead DevOps Engineer to join our team. MTX Group Inc. is a global implementation partner enabling organizations to become fit enterprises. MTX provides expertise across various platforms and technologies, including Google Cloud, Salesforce, artificial intelligence/machine learning, data integration, data governance, data quality, analytics, visualization and mobile technology. MTX’s very own Artificial Intelligence platform Maverick, enables clients to accelerate processes and critical decisions by leveraging a Cognitive Decision Engine, a collection of purpose-built Artificial Neural Networks designed to leverage the power of Machine Learning. The Maverick Platform includes Smart Asset Detection and Monitoring, Chatbot Services, Document Verification, to name a few.

Responsibilities:

• Be responsible for software releases, configuration, monitoring and support of production system components and infrastructure.
• Troubleshoot technical or functional issues in a complex environment to provide timely resolution, with various applications and platforms that are global.
• Bring experience on Google Cloud Platform.
• Write scripts and automation tools in languages such as Bash/Python/Ruby/Golang.
• Configure and manage data sources like PostgreSQL, MySQL, Mongo, Elasticsearch, Redis, Cassandra, Hadoop, etc
• Build automation and tooling around Google Cloud Platform using technologies such as Anthos, Kubernetes, Terraform, Google Deployment Manager, Helm, Cloud Build etc.
• Bring a passion to stay on top of DevOps trends, experiment with and learn new CI/CD technologies.
• Work with users to understand and gather their needs in our catalogue. Then participate in the required developments
• Manage several streams of work concurrently
• Understand how various systems work
• Understand how IT operations are managed

What you will bring:

• 5 years of work experience as a DevOps Engineer.
• Must possess ample knowledge and experience in system automation, deployment, and implementation.
• Must possess experience in using Linux, Jenkins, and ample experience in configuring and automating the monitoring tools.
• Experience in the software development process and tools and languages like SaaS, Python, Java, MongoDB, Shell scripting, Python, MySQL, and Git. 
• Knowledge in handling distributed data systems. Examples: Elasticsearch, Cassandra, Hadoop, and others.

What we offer:

• Group Medical Insurance (Family Floater Plan - Self + Spouse + 2 Dependent Children)
• Sum Insured: INR 5,00,000/- 
• Maternity cover upto two children
• Inclusive of COVID-19 Coverage
• Cashless & Reimbursement facility
• Access to free online doctor consultation

• Personal Accident Policy (Disability Insurance) -

• Sum Insured: INR. 25,00,000/- Per Employee
• Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
• Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
• Temporary Total Disability is covered

• An option of Paytm Food Wallet (up to Rs. 2500) as a tax saver  benefit
• Monthly Internet Reimbursement of upto Rs. 1,000 
• Opportunity to pursue Executive Programs/ courses at top universities globally
• Professional Development opportunities through various MTX sponsored certifications on multiple technology stacks including Salesforce, Google Cloud, Amazon & others

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